Jobs at BJAK

Leads an AI payments business end to end, owning P&L, strategy, product direction, team building, execution, growth, partnerships, revenue, and profitability. Identifies customer and commercial opportunities, collaborates with product, engineering, design, operations, and commercial teams, and launches and scales products while maintaining direct accountability for business results.

Leads a business unit end to end, owning P&L, strategy, product decisions, team building, execution, partnerships, growth, revenue, and profitability. Identifies customer and commercial opportunities, collaborates with product, engineering, and design teams to launch products, and drives performance through rapid, hands-on decision-making.

Leads an AI-native email app business end to end, owning P&L, strategy, product direction, team building, execution, growth, revenue, partnerships, operations, and profitability. Identifies customer and commercial opportunities, directs product launches, collaborates across product, engineering, design, and commercial teams, and remains accountable for measurable business outcomes.

Leads the Wealth Management business unit end to end, owning P&L, strategy, product direction, team building, execution, growth, revenue, and profitability. Identifies customer and commercial opportunities, partners with product, engineering, and design teams to launch products, builds partnerships and operations, and drives measurable business outcomes with direct accountability.

Leads the Travel FX app business end to end, owning P&L, strategy, product direction, team building, execution, growth, partnerships, operations, revenue, and profitability. Identifies customer and commercial opportunities, coordinates product, engineering, and design teams, hires and manages staff, launches products, and drives measurable business outcomes with a hands-on, high-ownership approach.

Build and ship customer-facing mobile features across Android, iOS or cross-platform for onboarding, accounts, payments, cards, transfers, rewards, FX and AI-assisted flows. Own end-to-end product-to-release delivery, collaborate with backend/design/product/AI teams, monitor analytics and crashes, and improve UX, reliability and performance.

Build and ship native Android features in Kotlin for an AI-enabled neobank. Design clean user flows for financial services, integrate backend APIs, improve performance and reliability, use analytics to iterate, and add on-device AI where it improves UX.

Build and ship native Android features (onboarding, accounts, cards, payments, transfers, rewards, AI-assisted journeys). Turn complex financial flows into simple, fast mobile experiences. Collaborate with product, design, backend and AI engineers. Own app quality (performance, crashes, loading states, edge cases) and iterate using production feedback and analytics. Integrate APIs, authentication and secure data handling with strong reliability focus.

Build and ship native iOS features for onboarding, accounts, cards, payments, transfers, rewards and AI-assisted journeys. Collaborate across product, design, backend and AI teams, own app quality, integrate secure APIs and debugging, and iterate using analytics and production feedback.

Integrate security into software delivery and infrastructure workflows across AWS and GCP. Build scanning into CI/CD pipelines, maintain security guardrails, secure containerized workloads, implement least-privilege access and secrets management, and support compliance with SC TRM and BNM RMiT. Improve monitoring, vulnerability reporting, incident readiness, and secure delivery practices while collaborating with platform and engineering teams using multiple programming languages.

Owns end-to-end machine learning systems across data, training, evaluation, inference, deployment, and monitoring. Builds large-model training and fine-tuning pipelines, evaluation frameworks, high-performance GPU inference systems, and reliable production infrastructure. Partners with research and application engineering to convert model capabilities into measurable product improvements. Provides hands-on technical leadership, makes pragmatic trade-offs, and ensures ML systems are scalable, efficient, safe, reliable, and production-ready.

Lead execution of end-to-end ML systems: data pipelines, training workflows, evaluation, and inference. Translate research into production by fine-tuning large models (LoRA/QLoRA/SFT/DPO/distillation), designing scalable GPU inference, ensuring memory/latency optimization, building evaluation for performance/robustness/safety, and integrating ML into backend and client products while operating under real-world constraints.

Lead production-grade ML systems: build and operate end-to-end ML pipelines, fine-tune large models (LoRA/QLoRA/SFT/DPO/distillation), design scalable inference, ensure GPU optimization, implement evaluation for performance/robustness/safety, and collaborate with product and application teams to ship reliable, low-latency AI features.

Own end-to-end ML systems: data, training, evaluation, inference, and deployment for production-grade LLMs. Build scalable training and inference pipelines, optimize GPU performance and memory, maintain evaluation and safety tooling, and collaborate with application engineers to integrate models into products while balancing latency, cost, and reliability.

Lead strategic execution for the AI Neobank expansion by aligning leadership, building operating rhythms (OKRs, decision tracking), coordinating cross-functional workstreams, preparing leadership/board materials, identifying risks and dependencies, advising trade-offs on people/capital/product/market, and owning high-priority special projects.

Work directly with leadership to drive high-priority, cross-functional initiatives across engineering, product, hiring, operations, and BD. Research markets, build teams and processes, lead projects from planning through execution, and deliver measurable business outcomes in a fast-moving environment.

Support the CEO by turning priorities into execution across product, hiring, licensing, partnerships and market launches. Track OKRs, decisions, blockers, prepare briefs and updates, coordinate cross-functional teams, identify execution gaps, and own urgent cross-departmental problems.

Lead and execute high-priority cross-functional initiatives across engineering, product, hiring, operations, and business development. Build teams, processes, and capabilities; research new markets and products; identify operational problems and implement practical solutions; manage projects end-to-end and deliver measurable business outcomes while communicating with stakeholders.

Own complex technical recruiting searches across AI/ML, software engineering, infrastructure, mobile, and leadership roles. Responsibilities include talent mapping, proactive sourcing and headhunting, technical profile evaluation, hiring-manager partnership, candidate negotiation and closing, and recruiting pipeline improvement. The role requires independently delivering difficult technical hires, advising engineering leaders, and recruiting globally, with a focus on senior and passive candidates.

Lead high-priority technical recruiting searches across AI/ML, engineering, infrastructure, web, and mobile. Build talent maps, source and close senior candidates, assess technical depth, partner with engineering leaders on hiring strategy, coach recruiters, improve pipeline quality, and develop scalable recruiting practices. The role requires hands-on ownership of difficult searches and expertise in technical talent markets.